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Nugrahasetyaardi
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my_awesome_mind_model

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Inference Endpoints
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  2. config.json +138 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/wav2vec2-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: my_awesome_mind_model
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # my_awesome_mind_model
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8417
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+ - Accuracy: 0.3630
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 256
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.5795 | 1.0 | 12 | 1.8016 | 0.3906 |
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+ | 1.5807 | 2.0 | 24 | 1.8034 | 0.3683 |
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+ | 1.5999 | 3.0 | 36 | 1.8205 | 0.3748 |
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+ | 1.548 | 4.0 | 48 | 1.7723 | 0.3761 |
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+ | 1.5436 | 5.0 | 60 | 1.8067 | 0.3735 |
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+ | 1.5169 | 6.0 | 72 | 1.8295 | 0.3683 |
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+ | 1.5155 | 7.0 | 84 | 1.8492 | 0.3761 |
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+ | 1.5054 | 8.0 | 96 | 1.8300 | 0.3722 |
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+ | 1.5131 | 9.0 | 108 | 1.8464 | 0.3630 |
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+ | 1.4852 | 10.0 | 120 | 1.8417 | 0.3630 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.0.dev0
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+ - Pytorch 2.3.0
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+ - Datasets 2.19.2.dev0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/wav2vec2-base",
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+ "activation_dropout": 0.0,
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+ "architectures": [
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+ "Wav2Vec2ForSequenceClassification"
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+ ],
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+ "bos_token_id": 1,
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+ "classifier_proj_size": 256,
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+ "codevector_dim": 256,
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+ 512,
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+ "id2label": {
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+ "0": "neutral",
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+ "1": "happy",
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+ "2": "fear",
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+ "3": "sad",
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+ "4": "bored",
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+ "6": "excited",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.42.0.dev0",
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+ "use_weighted_layer_sum": false,
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+ "vocab_size": 32,
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+ "xvector_output_dim": 512
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